AI Platform Context Architect | Knowledge Graph & RAG

AgileEngine, LLC.; Town of Texas, Fort Worth (WI, TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking an AI Platform Context Lead to design and own the knowledge graph and grounding layer for an enterprise AI ecosystem. You will shape context, evaluate retrieval quality, and drive scalable, secure implementations across Slack, Google Workspace, Glean, and AI assistants.

You will partner with subject-matter experts to build AI agents, skills, prompts, and workflows, translating strategy into technical designs and production-ready capabilities while ensuring governance and

Qualifications

• Authorized to work in the US.
• 6+ years of experience in development roles with hands-on Tech Lead experience.
• Designed and/or owned a knowledge graph or enterprise context/retrieval architecture end-to-end.
• Demonstrated experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Can distinguish wrong retrieval from right retrieval in eval traces and prioritize fixes by business impact.
• Hands-on experience administering or engineering enterprise SaaS, search, or AI platforms (Slack, Google Workspace, Glean, Claude, ChatGPT).
• Strong systems-administration background, including identity/access management, monitoring, and incident response.
• Experience working across multiple business functions and turning questions into checklists.

Responsibilities

• Design, curate, and continuously improve the company context and knowledge graph grounding search and agent responses.
• Review agent outputs to catch missing or wrong context and prioritize fixes.
• Maintain cross-team visibility to fix systemic context gaps architecturally.
• Partner with SMEs to design, build, test, and maintain AI agents, skills, and workflows.
• Decide whether a need is best solved by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs, integrations, and production-ready capabilities.
• Ensure implementations are scalable, secure, and compliant with standards.
• Build and maintain connectors, APIs, and RAG/semantic-search patterns.

Skills

6+ years exp

Tech Lead

Knowledge graph

AI agents

SaaS admin

Slack/Workspace

Tools

Slack

Google Workspace

Glean

Claude

ChatGPT

Job description

AgileEngine is seeking an AI Platform Context Lead to design and own the knowledge graph and grounding layer for an enterprise AI ecosystem. You will shape context, evaluate retrieval quality, and drive scalable, secure implementations across Slack, Google Workspace, Glean, and AI assistants.

You will partner with subject-matter experts to build AI agents, skills, prompts, and workflows, translating strategy into technical designs and production-ready capabilities while ensuring governance and